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In this paper, we propose a novel graph-based relation mining method, namely GRM, for OOV word embedding learning. We first build a Word Relationship Graph (WRG) ...
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Relationship mining or Relation Extraction (RE) is the task of identifying the different relations that might exist between two or more named entities.
In this paper, we propose a bottom-up approach, which applies a continuously evolving graph of integrated data objects and tasks to model and store static and ...
Dec 29, 2021 · Graph mining is a process in which the mining techniques are used in finding a pattern or relationship in the given real-world collection of graphs.
Graph-based data mining represents a collection of techniques for mining the relational aspects of data represented as a graph.
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Abstract. Graph-based data mining represents a collection of techniques for mining the relational aspects of data represented as a graph.
Abstract. With the increasing amount and complexity of today's data, there is an urgent need to accelerate data mining of large databases.
Subdue (Cook & Holder, 1994, 2000) is a graph-based knowledge discovery system that finds structural, relational patterns in data representing entities and ...
Specifically, we present techniques to efficiently solve graph problems, including computing clustering, centrality scores and shortest path distances for each ...
This study proposes the Graph Relational Decision Network (GRDN), which mines relationships between objects in a dataset.